When we carry out a chi-square test of independence, as the differences between the respective observed and expected frequencies decrease, the probability of concluding that the row variable is independent of the column variable
A) decreases.
B) increases.
C) may decrease or increase depending on the number of rows and columns.
D) will be unaffected.

Question

Quizplus · Accepted Answer

When a chi-square test for independence is large (observed frequencies differ substantially from the expected frequencies), then doubt will be cast on the null hypothesis of independence. Therefore, a small difference will result in a small chi-square and lowers the likelihood of rejecting the null hypothesis of independence.

When We Carry Out a Chi-Square Test of Independence, as the Differences